Real-time performance monitoring, in the greatest possible detail.
Netdata is the fastest way to visualize metrics. It is a resource efficient, highly optimized system for collecting and visualizing any type of real-time timeseries data, from CPU usage, disk activity, Network and QoS traffic, SQL
... [More] queries, API calls, web site visitors, etc.
Netdata tries to visualize the truth of now, in its greatest detail, so that you can get insights of what is happening now and what just happened, on your systems and applications.
For collecting data, it supports external plugins, even shell or node.js plugins. Any computer program, in any language, that can print a few lines of text on its standard output, can be a netdata data collector. [Less]
Parallel SSH multiplexer designed for performing parallel map operations via ssh.
Sshmap uses a hostlist module to determine hosts to operate on from a number of sources, it supports host names, dns/reverse dns, database backends and load balancers (haproxy). This functionality supports
... [More] recursion (dns gives a list of vips, which are then used to query the load balancers to get a list of hosts actually serving the traffic).
Sshmap supports running a single command on a host or streaming a script to the hosts over the ssh connection and it can handle sudo authentication to run the resulting scripts using sudo privileges.
The resulting data can then be handled in batch after completion on all hosts or asynchronously as the results come back via callback script pipelines. [Less]
Supergiant is an open-source datacenter management system that makes it easy to install, manage, and cluster stateful containerized apps. Our free, open-source packing algorithm runs your apps more efficiently, with less cost, and with greater performance. Save 40-60% off your AWS infrastructure
... [More] bills.
This repository is the core of a Supergiant instance -- the core controls the general provisioning of services and allocation of resources. [Less]
Zen aims to provide the largest scale and the most efficient machine learning platform on top of Spark, including but not limited to logistic regression, latent dirichilet allocation, factorization machines and DNN.
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